Kun Yan
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Bone Metabolism and Diseases
- Phytochemical Studies and Bioactivities
- Natural product bioactivities and synthesis
- Circular RNAs in diseases
- RNA Research and Splicing
Papers in
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- Bone Metabolism and Diseases 4
- ATP Synthase and ATPases Research 3
- Chromatin Remodeling and Cancer 3
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- Ferroptosis and cancer prognosis 3
- Co-authors
- Qiaoran Xi (8 shared papers)Airong Qian (3 shared papers)Lifang Hu (3 shared papers)Zhihao Chen (3 shared papers)Xinxin Ci (3 shared papers)Runzhi Li (2 shared papers)Peihong Su (2 shared papers)Yee‐Wai Cheung (1 shared paper)
- Journals
- Frontiers in Pharmacology (2 papers)BMB Reports (1 paper)Advanced Biology (1 paper)Nature Communications (1 paper)Current Medicinal Chemistry (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Kun Yan
29 papers receiving 597 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 131
- Molecular Biology 412
- Cell Biology 58
- Genetics 35
- Biomaterials 40
Countries citing papers authored by Kun Yan
This map shows the geographic impact of Kun Yan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kun Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Yan more than expected).
Fields of papers citing papers by Kun Yan
This network shows the impact of papers produced by Kun Yan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kun Yan. The network helps show where Kun Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 91 | |
| 2 | 2008 | 57 | |
| 3 | 2016 | 46 | |
| 4 | 2017 | 46 | |
| 5 | 2015 | 36 | |
| 6 | 2008 | 36 | |
| 7 | 2016 | 28 | |
| 8 | 2019 | 27 | |
| 9 | 1994 | 27 | |
| 10 | 2022 | 25 | |
| 11 | 2023 | 22 | |
| 12 | 2022 | 20 | |
| 13 | 2017 | 20 | |
| 14 | 2022 | 16 | |
| 15 | 2022 | 16 | |
| 16 | 2022 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2022 | 10 |
About Kun Yan
Kun Yan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cell Biology, Oncology and Cancer Research, having authored 31 papers that have together received 607 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Bone Metabolism and Diseases (4 papers), ATP Synthase and ATPases Research (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Chromatin Remodeling and Cancer (3 papers), Glioma Diagnosis and Treatment (3 papers), Ferroptosis and cancer prognosis (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Cancer Research (131 citations), Molecular Biology (412 citations), Cell Biology (58 citations), Genetics (35 citations) and Biomaterials (40 citations). Kun Yan has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Qiaoran Xi, Airong Qian, Lifang Hu, Zhihao Chen, Xinxin Ci, Runzhi Li, Peihong Su, Yee‐Wai Cheung, Zhiqi Yang and Ben C.B. Ko. Their work appears in journals such as Frontiers in Pharmacology, BMB Reports, Advanced Biology, Nature Communications and Current Medicinal Chemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.